esm2_t6_8M_UR50D-finetuned-localization

raghvendramall/esm2_t6_8M_UR50D-finetuned-localization

esm2_t6_8M_UR50D-finetuned-localization is a text classification model from raghvendramall. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

33% of all-time downloads

All-time downloads

Public

Repo size

1.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin31.4 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: May 17, 2023
Updated: Jun 6, 2023
SHA: 110f5e9f

Try a prompt

Model card

From the Hugging Face model README

esm2_t6_8M_UR50D-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9779
F1: 0.6889

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.4851	1.0	3889	0.4861	0.6872
0.4488	2.0	7778	0.4719	0.7281
0.4295	3.0	11667	0.4673	0.7058
0.3715	4.0	15556	0.4958	0.6915
0.3327	5.0	19445	0.5318	0.7078
0.2772	6.0	23334	0.6072	0.6889
0.2295	7.0	27223	0.7068	0.6918
0.1744	8.0	31112	0.8172	0.6966
0.1294	9.0	35001	0.9287	0.6928
0.1149	10.0	38890	0.9779	0.6889

Framework versions

Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: May 17, 2023
Updated: Jun 6, 2023